Research Article

A Feature-Driven Decision Support System for Heart Failure Prediction Based on Statistical Model and Gaussian Naive Bayes

Table 1

Commonly used HF features of the dataset.

Feature no.Feature descriptionFeature code

1Age (AGE)
2Sex (SEX)
3Chest pain type (CPT)
4Resting blood pressure (RBP)
5Serum cholesterol (SCH)
6Fasting blood Sugar (FBS)
7Resting electrocardiographic results (RES)
8Maximum heart rate achieved (MHR)
9Exercise induced angina (EIA)
10Old peak (OPK)
11Peak exercise slope (PES)
12Number of major vessels colored by fluoroscopy (VCA)
13Thallium scan (THA)